Title
Controlling of the Upper Limb Prosthesis Using Camera and Artificial Neural Networks
Authors
[ 1 ] Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ 2 ] Instytut Mechaniki Stosowanej, Wydział Inżynierii Mechanicznej, Politechnika Poznańska | [ SzD ] doctoral school student | [ P ] employee
Scientific discipline (Law 2.0)
Year of publication
2023
Chapter type
chapter in monograph
Publication language
english
Keywords
EN
- prosthetic hand
- artificial neural networks
- convolutional neural networks
- grasp classification
Abstract
EN The loss of the upper limb, especially the hand, can affect the level of autonomy. Developing an effective control system for the upper limb prostheses could improve the quality of users’ life. The aim of this project was to design artificial neural networks for automatic grasp classification. A subset of the grips allowing to perform everyday activities was proposed. The proposed artificial neural networks were evaluated and the maximal accuracy reached 97%.
Date of online publication
01.06.2022
Pages (from - to)
301 - 310
Ministry points / chapter
20
System created by Poznań University of Technology
and Poznan Supercomputing and Networking Center
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